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Paper Citation Record · LEDGER

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning

As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 3 inbound Pith citation observations for arXiv:2506.00009.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.00009 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:10:59.086248Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T11:46:33.957076Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved18
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 169d2609-077f-42c8-b364-a19d820dbab1 · outbound

This paper cites GPT-4 Technical Report.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning GPT-4 Technical Report

Reference 1

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unresolved
no resolver link, observed 2026-08-15T21:10:58.939534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 29d9c851-adef-4b24-89f9-40cdef2c4e7f · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.577698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:58.946693Z digest=sha256:aae9fc8a9bf68b8e474c894452e71bba53271fc0d6e5913de189c3e88011c251

Observation c91d56b5-8101-4c14-8df7-12df00ed4498 · outbound

This paper cites Degtyarenko, P.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Degtyarenko, P

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.559887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:58.952646Z digest=sha256:1c82b4ce080c901c653930a0907e471a5b95afd6dae5e8083ec73f16e83c4fa2

Observation 94a71882-9a2e-4d20-935a-cb2289a82258 · outbound

This paper cites Translation between Molecules and Natural Language.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Translation between Molecules and Natural Language

Reference 4

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unresolved
no resolver link, observed 2026-08-15T21:10:58.958881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:58.958881Z digest=sha256:559e6c855711fed98af223b0a255dfe8ceb1624b39ab4d645b50a8ac942b887d

Observation 7286b8c7-d01b-43a5-8f89-5852b328a5d5 · outbound

This paper cites Edwards, C.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Edwards, C

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.543207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:58.964914Z digest=sha256:ad57a5930000057675a9face496b3373d41652cd1ca72937d8186be4ba41c89a

Observation 2219c46a-0fab-4613-8d00-4029efca0e2f · outbound

This paper cites Ertl and A.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Ertl and A

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.525226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:58.970546Z digest=sha256:ceb533a18805dc775e8c2116e7ac2250bf71c2c6216dcbf3fad5e4124dfb0b7c

Observation b204f214-9533-447e-bbe6-bec9fc9fc7ec · outbound

This paper cites Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:58.977200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6d9d9eb2-86c2-45d4-8794-ace4e1fc0e07 · outbound

This paper cites Open Graph Benchmark: Datasets for Machine Learning on Graphs.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 8

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unresolved
no resolver link, observed 2026-08-15T21:10:58.983096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:58.983096Z digest=sha256:ad3f04ace6e1b151c382aa670f1be420aab3511e382c087a953220cf6835a540

Observation 04817de4-def4-4631-b150-23ba79f96e27 · outbound

This paper cites Strategies for Pre-training Graph Neural Networks.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Strategies for Pre-training Graph Neural Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:58.988522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:58.988522Z digest=sha256:d1de55029a0313632d87d7d0804baad0f67dcd6cad2a7a6c6b4b908e7532d315

Observation afeebe5d-5522-43b2-9900-f70a20edfd32 · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.507867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:58.993783Z digest=sha256:c33693d4b503b9819ed131212479f307f3d1788ae952a930c90eca1b77887fb3

Observation c60308d6-b6af-4803-9360-22e645cbb20d · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-15T21:10:59.490112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:58.998656Z digest=sha256:268c278f7943c6138f960bc6bc8fa6627e30ea90ca5348467f33534b745cba1e

Observation be6dbfdc-ddd0-40ea-b3e0-5e5d7ad1643e · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.473359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:59.003803Z digest=sha256:117cd47bd38198e6b7bb387d04c6e90c1f110bcf9c7b131905d73245ac7b6ab1

Observation 7988b1a1-b0bb-4828-9d28-cad1c48a6fc2 · outbound

This paper cites Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:59.008579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:59.008579Z digest=sha256:e5388ce484c9cc3c4dcb932b570f788e59bc03e5bf8289bc066ab314356ef3bd

Observation 30b84df7-36ba-4d1b-ae87-d8d44c02451e · outbound

This paper cites Graph Diffusion Transformers for Multi-Conditional Molecular Generation.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Graph Diffusion Transformers for Multi-Conditional Molecular Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:59.014301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 85a45259-4d0c-4bec-a6b4-6e04242000a1 · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.457327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:59.019743Z digest=sha256:23d28d7cb7cf5c0c99db65665de190363a86719a89f955773f97a747a121d6c4

Observation 463384c5-0294-41c5-9255-25205bea942c · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.438993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:59.025736Z digest=sha256:b3e810294e1fc98c4635bda2792731512eb17a66cf9990b04557956f84b05e07

Observation 20ba6618-a25c-44a9-bef3-3075d4378ddc · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:10:59.419784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 85524007-67a9-4ce3-9a3b-cbceaaa3cd6c · outbound

This paper cites Radford, J.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Radford, J

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.401997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cba58db5-e90d-4b66-a9d4-5a1b6dc2142f · outbound

This paper cites Rdkit cookbook, 2024.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Rdkit cookbook, 2024

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.383220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:59.042700Z digest=sha256:c668dbc47f3482b17ddc528c3b841d33dcceb9289f420d7f1bd8024effcd6243

Observation bacfb13b-c012-4383-998f-4220122a89c1 · outbound

This paper cites Schneuing, C.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Schneuing, C

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.364899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:59.048041Z digest=sha256:76494bbb1d5dc447175ecf485eb18534d10d47d84a527cd1f24228983346e427

Observation 25d37392-eb2e-402a-9a2c-ee9e8ca2d4a2 · outbound

This paper cites Taori, I.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Taori, I

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.346341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:59.053957Z digest=sha256:4f2b6f189bb6d75bad331cb4b9d8b4c24d77f303cf2877978eea8b251f1293f3

Observation a01005e7-9b4c-4a2b-a95a-28a0f629cf15 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:59.059000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:59.059000Z digest=sha256:2cdb3f041dbf157175da2de4c391d25292ffb99ea89b5b352620a45cb0a0bec6

Observation a75c17a5-a7ad-46e8-be9d-2ad2ebede8eb · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:59.065098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:59.065098Z digest=sha256:3927f58d5d28203b6f0cbc56d7f490b782c1a8f672f1a9d024129a219d090099

Observation b8df7ff7-b642-4dcb-b02c-c6b54f3e0a40 · outbound

This paper cites an unresolved cited work.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T21:10:59.070451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:59.070451Z digest=sha256:79a6b78eea37c18b075826099cef558c2dbafa3ac6941dee0898b81e9b6229f0

Observation 44b0baeb-f036-4804-b986-1c30a0c7367e · outbound

This paper cites How Powerful are Graph Neural Networks?.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning How Powerful are Graph Neural Networks?

Reference 25

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unresolved
no resolver link, observed 2026-08-15T21:10:59.075864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:10:59.075864Z digest=sha256:5040a3cf735d8be6cea8d785004f582fa39cd943fe4bd48eb9c4a6d4754eb886

Observation a79e1ec9-1579-45bc-8916-17cdd8950df2 · outbound

This paper cites Zdrazil, E.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning Zdrazil, E

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:10:59.318299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:59.081186Z digest=sha256:947ef7a656de5b45f8fbe22a04149834ef5bd4fe22cd51b9cad78f9b805e0ae0

Observation c1bd639e-5322-4ed0-8ec1-07cfac85c5b7 · outbound

This paper cites not active.

MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning not active

Reference 27

Resolution
malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:10:59.086248Z digest=sha256:b3604f8eb03f63f80f2055e84d3bcdb6b66b5606a9031744a22074284b0d0c4b

Pith citing papers

Observation 60d4bec2-b146-4a2f-991a-1be987d2ae34 · inbound

DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery cites this paper.

DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:20:30.317080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bfa7a461-eb07-4bfb-b7d8-cef97c0aef63 · inbound

Heterogeneous Scientific Foundation Model Collaboration cites this paper.

Heterogeneous Scientific Foundation Model Collaboration MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning

Reference 138

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metadata mismatch
arxiv_id, observed 2026-05-09T04:30:10.018166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 542b494a-fd52-4c85-9cb4-5d121a0d0925 · inbound

BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language cites this paper.

BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning

Reference 154

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:19:44.838517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T11:46:33.957076Z digest=sha256:680155dc687730962402929c6348bc9cd382e1e14cce6722e654235d480fe488